Assignments are handed out every Tuesday 8:15, and must be submitted until the following Tuesday 23:59

Credits:

6 SWS, 10 LP

Language:

German

News

[02.03.2018] Page creation

Topic

The topic of this course is the detection of humans in images.

Object detection is one of the most challenging tasks in the field of computer vision and machine learning. The difficulty is because many objects have complex appearances; for instance, humans often adopt varying poses, and have different sizes.

The goal of this project is the detection of object instances in images using local features and supervised learning methods. The students will implement a detector for humans which performs localization by specifying a tight bounding box around each instance.

During this project you will learn

the basics of deep neural networks

an approach to object detection detection based on deep neural networks

Assignments (handed out every week) will introduce students to programming with Python, step-by-step build the detection pipeline and provide first hands-on experience in image processing and machine learning.

Student groups will work on a project in weekly sessions

In the end, each team will present the results of their implementation to the other teams.